## YES
### But, No, not really:

**TL;DR**  *It would probably take longer just to run your script to remove the whitespaces than the time it saved by removing them.*

---


@Josh O'Brien really hit the nail on the head. But I just couldnt resist to benchmark 

As you can see, if you are dealing with an order of magnitude of 100 MILLION lines then you will see a miniscule hinderance. 
**HOWEVER**  With that many lines, there would be a high likelihood of their being at least one (if not hundreds) of hotspots, 
where simply improving the code in one of these would give you much greater speed than `grep`ing out all the whitespace. 



      library(microbenchmark)

      microbenchmark(LottaSpace = eval(LottaSpace), NoSpace = eval(NoSpace), NormalSpace = eval(NormalSpace), times=10e7)

      @ 100 times;  Unit: microseconds
               expr   min     lq median     uq    max
      1  LottaSpace 7.526 7.9185 8.1065 8.4655 54.850
      2 NormalSpace 7.504 7.9115 8.1465 8.5540 28.409
      3     NoSpace 7.544 7.8645 8.0565 8.3270 12.241

      @ 10,000 times;  Unit: microseconds    
               expr   min    lq median    uq      max
      1  LottaSpace 7.284 7.943  8.094 8.294 47888.24
      2 NormalSpace 7.182 7.925  8.078 8.276 46318.20
      3     NoSpace 7.246 7.921  8.073 8.271 48687.72


WHERE: 

    LottaSpace <- quote({
          a            <-            3
          b                  <-                  4   
          c         <-      5
          for   (i            in      1:7)
                i         +            i
    })


    NoSpace <- quote({
    a<-3
    b<-4
    c<-5
    for(i in 1:7)
    i+i
    })

    NormalSpace <- quote({
     a <- 3
     b <- 4 
     c <- 5
     for (i in 1:7)
     i + i
    })